Volume 55, Number 5, September-October 2021
|Page(s)||3073 - 3085|
|Published online||14 October 2021|
Tire noise optimization problem: a mixed integer linear programming approach
FG HCI, Appelstr. 9A, Universität Hannover, 30167 Hannover, Germany
2 Université de Lorraine, CNRS, IECL, Metz 57000, France
3 Laboratoire de Conception, Optimisation et Modélisation des Systèmes, LCOMS EA 7306, Université de Lorraine, Metz 57000, France
* Corresponding author: firstname.lastname@example.org
Accepted: 18 September 2021
We present a Mixed Integer Linear Programming (MILP) approach in order to model the non-linear problem of minimizing the tire noise function. In a recent work, we proposed an exact solution for the Tire Noise Optimization Problem, dealing with an APproximation of the noise (TNOP-AP). Here we study the original non-linear problem modeling the EXact- or real-noise (TNOP-EX) and propose a new scheme to obtain a solution for the TNOP-EX. Relying on the solution for the TNOP-AP, we use a Branch&Cut framework and develop an exact algorithm to solve the TNOP-EX. We also take more industrial constraints into account. Finally, we compare our experimental results with those obtained by other methods.
Mathematics Subject Classification: 49M / 65K05 / 90C05 / 90C10 / 90C11 / 90C57 / 90C90
Key words: Mixed integer linear programming / branch-and-cut / tire shape optimization
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
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